Diseño de control de espacio de estados
Los métodos de diseño de control de espacio de estados, como los algoritmos LQG/LQR y de ubicación de los polos, son útiles para los diseños MIMO.
Funciones
Temas
- Linear-Quadratic-Gaussian (LQG) Design
Linear-quadratic-Gaussian (LQG) control is a state-space technique that allows you to trade off regulation/tracker performance and control effort, and to take into account process disturbances and measurement noise.
- LQG Regulation: Rolling Mill Case Study
Use linear-quadratic-Gaussian techniques to regulate the beam thickness in a steel rolling mill.
- Design LQG Tracker Using Control System Designer
Design a feedback controller for a disk drive read/write head using LQG synthesis.
- Design Yaw Damper for Jet Transport
This case study illustrates the classical design process.
- Design an LQG Regulator
Design an LQG regulator for a plant output in a system with noise.
- Design an LQG Servo Controller
Design an LQG servo controller using a Kalman state estimator.
- Design an LQR Servo Controller in Simulink
Design an LQR controller for a system modeled in Simulink®.
- Pole Placement
Closed-loop pole locations have a direct impact on time response characteristics such as rise time, settling time, and transient oscillations. Pole placement uses state-space techniques to assign closed-loop poles.